Matching and Optimization of Two-speed Electric Vehicle Transmission System based on Cruise and Isight

Aiming at the problem of matching and optimization of the power transmission system of two-speed electric vehicles, according to the design parameters and target requirements of the whole vehicle, the power matching of the core components such as the drive motor, power battery, and transmission of t...

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Bibliographic Details
Main Authors: Jigao Niu, Zhaojun Wang, Pengbo Zhang, Yunlong Yang, Kai Zhang, Chunhua Xu
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2021-05-01
Series:Jixie chuandong
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Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2021.05.020
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Summary:Aiming at the problem of matching and optimization of the power transmission system of two-speed electric vehicles, according to the design parameters and target requirements of the whole vehicle, the power matching of the core components such as the drive motor, power battery, and transmission of the pure electric vehicle is carried out through theoretical calculations, and by using the Cruise simulation software, the vehicle model of the target vehicle is established, and the matching result is simulated and verified. On the premise that the dynamic performance meets the design requirements, in order to further improve the economy, a joint simulation model of Cruise and Isight is built, and an improved non-dominated sorting genetic algorithm (NSGA-Ⅱ) is adopted to optimize the transmission ratio of the transmission system with multiple objectives to achieve the best solution for power and economy. The optimization results show that the power consumption under the optimized NEDC (New european driving cycle) cycle is reduced by 0.38 kWh/100 km, and the economy is increased by 2.4%. The acceleration time of 0~100 km/h is reduced by 0.95 s compared with that before the optimization, and the power performance increased by 7.5%.
ISSN:1004-2539